Table 8. Standard errors for medical plans, single coverage: Employee participation by type of contribution, Stateand local government workers, National Compensation Survey, March 2008

(All workers with contributory single coverage = 100 percent)

Employee monthly contribution

Single coverage

Total withcontributorycoverage

Flat dollaramount

Compositerate1

Varies2

Flexiblebenefits3

Percent ofearnings

Exists, butunknown

Other

All workers

0.0

1.2

–

0.9

0.5

[4]

0.5

–

Worker characteristics

Management, professional, and related

0.0

1.2

0.1

1.0

0.6

[4]

0.5

–

Professional and related

0.0

1.2

0.1

1.0

0.5

[4]

0.6

–

Teachers

0.0

1.7

0.1

1.5

0.7

–

0.8

–

Primary, secondary, and special education school teachers

0.0

2.1

0.2

1.6

0.9

–

1.0

–

Registered nurses

0.0

4.4

–

–

–

–

1.7

–

Service

0.0

1.9

–

1.2

0.5

–

0.9

–

Protective service

0.0

2.6

–

1.6

–

–

1.1

–

Sales and office

0.0

1.9

–

1.3

1.2

–

1.1

–

Office and administrative support

0.0

1.7

–

1.3

0.7

–

1.1

–

Natural resources, construction, and maintenance

0.0

2.7

–

2.1

0.4

–

1.4

–

Production, transportation, and material moving

0.0

1.9

–

1.2

–

–

1.1

–

Full time

0.0

1.2

–

0.9

0.5

[4]

0.5

–

Part time

0.0

2.6

–

2.6

0.7

–

–

–

Union

0.0

1.6

[4]

1.1

0.6

–

0.8

–

Nonunion

0.0

1.5

–

1.3

0.7

–

0.6

–

Average wage within the following percentiles:5

Less than 10

0.0

2.5

–

1.9

–

–

1.7

–

10 to under 25

0.0

2.4

–

1.5

1.4

–

1.0

–

25 to under 50

0.0

1.7

–

1.6

0.5

0.1

0.5

–

50 to under 75

0.0

1.6

–

1.0

0.5

[4]

0.8

–

75 to under 90

0.0

1.4

–

1.1

0.8

–

0.8

–

90 or greater

0.0

2.2

0.2

2.0

0.5

–

0.8

–

Establishment characteristics

Service-providing industries

0.0

1.2

–

0.8

0.5

[4]

0.5

–

Education and health services

0.0

1.3

0.1

1.1

0.4

0.1

0.6

–

Educational services

0.0

1.3

0.1

1.2

0.4

0.1

0.6

–

Elementary and secondary schools

0.0

1.6

0.1

1.3

0.5

0.1

0.9

–

Junior colleges, colleges, and universities

0.0

3.1

–

2.9

–

–

0.9

–

Health care and social assistance

0.0

3.2

–

2.8

0.8

–

–

–

Hospitals

0.0

3.5

–

–

0.6

–

–

–

Public administration

0.0

2.4

–

1.2

0.8

–

1.1

0.1

1 to 99 workers

0.0

3.7

–

3.0

2.2

–

2.7

0.1

1 to 49 workers

0.0

5.3

–

–

2.6

–

–

–

50 to 99 workers

0.0

3.0

–

1.7

–

–

0.5

0.3

100 workers or more

0.0

1.1

–

0.8

0.4

[4]

0.5

–

100 to 499 workers

0.0

2.5

–

1.8

0.7

–

1.0

–

500 workers or more

0.0

1.3

0.1

0.9

0.5

[4]

0.7

–

State government

0.0

2.6

–

2.2

1.1

–

0.5

–

Local government

0.0

1.4

–

0.8

0.4

0.1

0.8

–

Geographic areas

New England

0.0

3.8

–

–

–

–

–

–

Middle Atlantic

0.0

4.6

–

3.3

–

0.4

2.5

0.1

East North Central

0.0

3.5

–

2.0

–

–

1.9

–

West North Central

0.0

7.1

–

–

–

–

–

–

South Atlantic

0.0

1.3

–

0.3

–

–

0.8

–

East South Central

0.0

2.7

–

2.6

–

–

0.2

–

West South Central

0.0

3.1

–

–

2.8

–

1.4

–

Mountain

0.0

8.2

–

–

1.0

–

–

–

Pacific

0.0

2.0

[4]

1.8

0.8

–

0.6

–

Average monthly employer premium6

$4.95

$5.52

–

$7.24

$13.86

$5.93

$18.38

–

Footnotes:

1A composite rate is a set contribution covering more than one benefit area, for example, health care and life insurance. Cost data for individual plans cannot be determined.

2Based on worker attributes. For example, employee contributions may vary based on earnings, length of service, or age.

3Amount varies by options selected under a "cafeteria plan" or employer-sponsored reimbursement account.

4Less than 0.05.

5The percentile groupings are based on the average wage for each occupation surveyed, which may include workers both above and below the threshold. The percentile values are based on the estimates published in the "National Compensation Survey: Occupational Earnings in the United States, 2007." See Technical Note for more details.

6Average premium is for all workers.

NOTE: Dash indicates no workers in this category or data did not meet publication criteria.